code: def test_pad_spectrograms(
      enhancer: SpectrogramEnhancerModel, sample_input
  ):
      input_spectrograms, lengths = sample_input
      output = enhancer.pad_spectrograms(input_spectrograms)
  
      assert output.size(-1) >= input_spectrograms.size(-1)
  
file_path: NeMo/tests/collections/tts/test_spectrogram_enhancer.py
imports: import pytest
  import torch
  from einops import rearrange
  from omegaconf import DictConfig
  from nemo.collections.tts.models import SpectrogramEnhancerModel
  from nemo.collections.tts.parts.utils.helpers import mask_sequence_tensor
label_desc: Use image node_id 5 for calling a global function with example usage: test_pad_spectrograms(enhancer, sample_input) without return types